Weiwei Tong and Shaohui WangThis email address is being protected from spambots. You need JavaScript enabled to view it.
College of Mathematics and Information Science, Henan Polytechnic University, Jiaozuo, Henan 454003
Received: January 17, 2023 Accepted: August 12, 2023 Publication Date: November 4, 2023
Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.
An important research gap in the field of switched systems is the design of fault tolerant control for Lipschitz non-linear delayed switched systems using a model predictive method. This study addresses this gap by taking into account the failure of the actuators and develops a fault-tolerant model predictive control technique for the non-linear delayed Lipschitz switched systems with arbitrary switching signal to asymptotically stabilize the closed-loop system. The non-convex optimization issue is phrased as a linear matrix inequality optimization problem and a set of novel stability criteria are derived by taking into account the cost function with infinite predictive horizon and input limitation and employing switched Lyapunov-Krasovskii functional. The success of the suggested scheme is then evaluated using a computer simulation of a system that causes water pollution. The results support the proposed scheme’s successful execution.
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